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Optimization

1,664 papers

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Papers

OTLRM: Orthogonal Learning-based Low-Rank Metric for Multi-Dimensional Inverse Problems AAAI 2025
ALRMR-GEC: Adjusting Learning Rate Based on Memory Rate to Optimize the Edit Scorer for Grammatical Error Correction AAAI 2025
Flexible Sharpness-Aware Personalized Federated Learning AAAI 2025
Semi-Implicit Neural Ordinary Differential Equations AAAI 2025
HVAdam: A Full-Dimension Adaptive Optimizer AAAI 2025
Multi-Level Optimal Transport for Universal Cross-Tokenizer Knowledge Distillation on Language Models AAAI 2025
Adaptive Draft-Verification for Efficient Large Language Model Decoding AAAI 2025
Wasserstein Distance Constraint and Parameter Sparsification for Batched and Iterative Knowledge Editing AAAI 2025
Unleashing the Potential of Large Language Models as Prompt Optimizers: Analogical Analysis with Gradient-based Model Optimizers AAAI 2025
Faster Double Adaptive Gradient Methods AAAI 2025
Dynamic Algorithm Termination for Branch-and-Bound-based Neural Network Verification AAAI 2025
Dynamic Back-Substitution in Bound-Propagation-Based Neural Network Verification AAAI 2025
Taming LLMs with Gradient Grouping ACL 2025
YuLan-Mini: Pushing the Limits of Open Data-efficient Language Model ACL 2025
VLMInferSlow: Evaluating the Efficiency Robustness of Large Vision-Language Models as a Service ACL 2025
How to Mitigate Overfitting in Weak-to-strong Generalization? ACL 2025
CalibraEval: Calibrating Prediction Distribution to Mitigate Selection Bias in LLMs-as-Judges ACL 2025
Velocitune: A Velocity-based Dynamic Domain Reweighting Method for Continual Pre-training ACL 2025
AutoMixer: Checkpoint Artifacts as Automatic Data Mixers ACL 2025
Understanding Silent Data Corruption in LLM Training ACL 2025
LESA: Learnable LLM Layer Scaling-Up ACL 2025
MobiLoRA: Accelerating LoRA-based LLM Inference on Mobile Devices via Context-aware KV Cache Optimization ACL 2025
Efficient Ensemble for Fine-tuning Language Models on Multiple Datasets ACL 2025
Better Embeddings with Coupled Adam ACL 2025
Rethinking the Role of Prompting Strategies in LLM Test-Time Scaling: A Perspective of Probability Theory ACL 2025